Lead Data Analyst, Growth & Experimentation

Posted 8 hours ago

This is a fully remote position, open to applicants in Mexico, +3 more countries.

πŸ“‹ Description

β€’ Take ownership of experimentation across web funnels, SMS/drip campaigns, sales-driven tests, and SEO evaluations.

β€’ Design experiments and make informed decisions regarding power, sample size, significance, and reporting standards.

β€’ Identify underpowered tests and false positives before they lead to misguided decisions.

β€’ Transition Growth tests to continuous monitoring and analyze results that cross boundaries.

β€’ Enhance the self-service experimentation framework using Lightdash, Python-based statistical significance tools, and Claude AI routines.

β€’ Maintain automated Growth metrics, conduct pre-test power assessments, and perform live-test health checks as products and tracking methods evolve.

β€’ Construct and manage a reliable, instrumented visitor-to-lead-to-customer funnel across various brands and channels.

β€’ Provide analyses of CAC, LTV, and conversion rates to inform investment strategies.

β€’ Develop initial standards and a playbook for scaling the Growth analytics function in the first year.

β€’ Advise on whether to buy or develop the experimentation infrastructure.

β€’ Collaborate with the Director of CRO, performance marketing, Growth PMs, and the CEO.

β€’ Deliver insights that influence decisions and quantify conversion improvements.


⛳️ Requirements

β€’ Proficient in SQL.

β€’ Sufficient Python skills to automate statistical significance calculations.

β€’ Familiarity with dbt and Lightdash.

β€’ Experience in building data models independently without relying on data engineering.

β€’ Regular use of AI for SQL, dbt, and analytical pressure-testing; eagerness to enhance existing AI capabilities.

β€’ Strong statistical understanding of experiment design, power, significance, novelty and interaction effects, and knowledge of when not to conduct tests.

β€’ Proficient in Segment event instrumentation and Flagsmith randomization.

β€’ Knowledge of CAC, LTV, channel economics, attribution complexities, seasonality, and channel mix.

β€’ Ability to identify tracking issues before launching experiments.

β€’ Skill in articulating broken experiments and analytical insights in straightforward terms.

β€’ Capability to influence PMs and marketers without formal authority.

β€’ Individual contributor focus; this position does not involve people management.


🏝️ Benefits

β€’ AI tools provided: The Claude routines currently operating in our experimentation process are yours to expand upon, not just a side project that requires justification.

β€’ Fully remote: This role involves deep-focus analytical work with US-based partners. We seek the best analysts regardless of location and trust you to manage your work environment and hours of overlap.

β€’ Flexible PTO: Performance is evaluated based on outcomes rather than hours worked.

β€’ Scope: Be the first analyst dedicated solely to Growth and Experimentation, leaving your mark on how the company determines what strategies succeed.

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